Chapter
Combining Expert Systems and Deep Learning
43:02 - 49:27 (06:24)
There is a need to combine expert systems and deep learning to come up with new technologies that can capture human knowledge stored in symbols and basic level information that is difficult to capture in machines.
Clips
The building blocks of computers are made up of rules, which are essential in ensuring successful artificial intelligence.
43:02 - 46:09 (03:07)
Summary
The building blocks of computers are made up of rules, which are essential in ensuring successful artificial intelligence. Although machine learning has its benefits, relying solely on it may not suffice in developing AI.
ChapterCombining Expert Systems and Deep Learning
EpisodeGary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
PodcastLex Fridman Podcast
The challenge of synthetic intelligence is to develop new technologies that can draw strength from expert systems and deep learning to synthesize them in a way that replicates human thinking.
46:09 - 48:29 (02:19)
Summary
The challenge of synthetic intelligence is to develop new technologies that can draw strength from expert systems and deep learning to synthesize them in a way that replicates human thinking.
ChapterCombining Expert Systems and Deep Learning
EpisodeGary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
PodcastLex Fridman Podcast
The limits of human knowledge retrieval mean that we recognize true information if we're told it but are less likely to retrieve it in reverse, indicating an ocean of knowledge we operate on that we may not be able to communicate effectively.
48:29 - 49:27 (00:57)
Summary
The limits of human knowledge retrieval mean that we recognize true information if we're told it but are less likely to retrieve it in reverse, indicating an ocean of knowledge we operate on that we may not be able to communicate effectively.